Ministry of Land Infrastructure and Transport Statistics System., http://stat.molit.go.kr

(TASS) Traffic Accident Analysis System., http://taas.koroad.or.kr/

Li G. , Lee B.L. , Chung W.Y., 2015, Smartwatch-Based Wearable EEG System for Driver Drowsiness Detection, Journal of IEEE Sensors, Vol. 15, No. 12, pp. 7169-7180

Kim Y. J. , Kim Y. M. , Hahn M. S., 2008, Detecting Driver Fatigue Based on the Driver’s Response Pattern and the Font View Environment of an Automobile, Universal communication, 2008. ISUC’08. Second International Symposium on, pp. 237-240

Omidyeganeh M. , Javadtalab A. , Shirmohammadi S., 2011, Intelligent Driver Drowsiness Detection through Fusion of Yawning and Eye Closure, Proceeding of IEEE International Conference on Virtual Environments, Human-Computer Interfaces and Measurement Systems, pp. 1-6

Abtahi S. , Hariri B. , Shirmohammadi S., 2013, Driver Drowsiness Monitoring Based on Yawning Detection, IEEE International Instru m entation and Measurement Technology Conference (I2MTC), pp. 1-4

Kim M. S., Kim Y. N., Heo Y. S., 2014, Characteristics of Heart Rate Variability Derived from ECGduring the Driver’s Wake and Sleep States, Transactions of KSAE, Vol. 22, No. 3, pp. 136-142

Hu. H., Park S. S., Lee Y. S., 2009, Development of a Driver Status Monitoring System Using a Driving Simulator, Conference and Exhibition of KSAE, pp. 1986-1993

Do Re-mi, 2008, Drowsy prevention system using infrared ray camera, master thesis

Rahman A. , Sirshar M. , Khan A., 2015, Real Time Drowsiness Detection using Eye Blink Monitoring, Proceeding of IEEE National Software Engineering Conference (NSEC), pp. 1-7